Mark A. Thornton William James Hall 33 Kirkland St. Cambridge, MA 02138 Email: [email protected] Education 2011-present Ph.D. Psychology. Harvard University. Expected 2016. 2013 A.M. Psychology. Harvard University. 2011 A.B. Psychology. Princeton University Publications Rodriguez, S. B., Thornton, M. A., & Thornton, R. J. (2013). Raman spectroscopy and chemometrics for identification and strain discrimination of the wine spoilage yeasts saccharomyces cerevisiae, zygosaccharomyces bailii, and brettanomyces bruxellensis. Applied and environmental microbiology, 79(20), 6264-6270. Thornton, M. A., & Conway, A. R. A. (2013). Working memory for social information: Chunking or domain-specific buffer? NeuroImage, 70, 233-239. Tamir, D. I.*, Thornton, M.A.*, Contreras, J. M., & Mitchell, J. P. (in prep.). Three psychological dimensions shape the neural representation of mental states: dual process, social impact, and valence. *equal contributions Thornton, M.A. & Mitchell, J. P. (in prep.). Egocentric and personality knowledge shape local and distributed patterns of neural activity during mentalizing. Thornton, M.A. & Mitchell, J. P. (in prep.). Ventral medial prefrontal cortex robustly encodes similarity to self during mentalizing. Thornton, M.A. & Mitchell, J. P. (in prep.). Person representation and its relation to context and confidence in mentalizing. Conference Presentations Thornton, M.A., & Mitchell, J. P. (2014, April). The neural organization of person knowledge. Poster presented at Social and Affective Neuroscience Society annual meeting, Denver, CO. Thornton, M.A., Tamir, D. I., Contreras, J. M., & Mitchell, J. P. (2014, April). Neural organization of mental state knowledge. Poster presented at Cognitive Neuroscience Society annual meeting, Boston, MA. Thornton, M.A., Tamir, D. I., Contreras, J. M., & Mitchell, J. P. (2014, February). Neural representations of mental states are encoded according to agency and experience. Talk presented at Social Brain Sciences Symposium, Chestnut Hill, MA. Thornton, M. A., & Mitchell, J. P. (2013, July). Efficiency in social working memory. Poster presented at Wellcome Trust Summer School on the Biology of Social Cognition, Hinxton, UK. Thornton, M. A., Contreras, J. M., & Mitchell, J. P. (2012, December). Greater FFA pattern similarity for other-race than same-race faces. Talk presented at Social Brain Sciences Symposium, Cambridge, MA. Thornton, M. A., & Conway, A. R. A. (2011, May). Social working memory: The role of medial prefrontal cortex. Poster presented at Princeton Undergraduate Research Symposium, Princeton, NJ. Honors and Awards 2013 Harvard University Certificate of Distinction in Teaching 2012 National Science Foundation Graduate Research Fellowship 2011 Edward E. Jones Memorial Thesis Prize, Princeton University 2011 Summa cum laude, Princeton University 2011 Phi Beta Kappa, Princeton University 2011 Sigma Xi, Princeton University 2009 Shapiro Prize for Academic Excellence, Princeton University 2007 Robert C. Byrd Honors Scholarship Research Experience 2011 Thesis entitled: Social working memory: The role of medial prefrontal cortex Princeton University, Psychology Department PI: Andrew R. A. Conway 2010-2011 Research Assistant, Human Working Memory Lab Princeton University, Psychology Department PI: Andrew R. A. Conway 2009-2011 Summer Research Assistant, Fresno Language Behavior Laboratory California State University Fresno, Psychology Department PI: Lorin Lachs Teaching and Advising 2013 Teaching Fellow Psych 1950, Intermediate Statistical Analysis in Psychology Harvard University, Department of Psychology 2011 Senior Peer Academic Advisor Princeton University, Mathey College, 2008 Mathematics Instructor and Summer Advisor Upward Bound, Central High School, Reading and Beyond, Fresno, California Professional Service Ad hoc reviewer – Frontiers in Psychology, Social Neuroscience Memberships Social and Affective Neuroscience Society (2013-Present) Cognitive Neuroscience Society (2013-Present) Skills Statistical Analysis: ANOVA, regression, mixed effects modelling, factor analysis, structural equation modelling, Monte Carlo simulation, multivoxel pattern analysis, classification and machine learning, bootstrapping and nonparametric tests Programming: MATLAB, Python, R .